Abstract
Ubiquity, heterogeneity and dense deployment of sensors have yielded the Internet of Things (IoT) concept, which is an integral component of various smart spaces including smart cities. Applications and services in a smart city ecosystem aim at minimizing the cost and maximizing the quality of living. Among these services, waste management is a unique service that covers both aspects. To this end, in this paper, we propose a WSN-driven system for smart waste management in urban areas. In our proposed framework, the waste bins are equipped with sensors that continuously monitor the waste level and trigger alarms that are wirelessly communicated to a cloud platform to actuate the municipal agents, i.e., waste collection trucks. We formulate an Integer Linear Programming (ILP) model to find the best set of trajectory-truck with the objectives of minimum cost or minimum delay. In order for the trajectory assistance to work in real time, we propose three heuristics, one of which is a greedy one. Through simulations, we show that the ILP formulation can provide a baseline reference to the heuristics, whereas the non-greedy heuristics can significantly outperform the greedy approach regarding cost and delay under moderate waste accumulation scenarios.
Highlights
Smart cities operate on the foundation of information and communication technologies in order to bridge citizens and technology with the ultimate goal of improving quality of life and sustainability [1]
Two heuristic solutions are developed to improve the naïve approach: (1) Collect based on Upper Threshold (CUT) and (2) Collect based on Upper and Lower Threshold (CULT)
This section describes three heuristic solutions addressing the efficient waste management problem, namely: (1) Closest Vehicle First (CVF), (2) Collect based on Upper Threshold (CUT) and (3) Collect based on Upper and Lower Threshold (CULT)
Summary
Smart cities operate on the foundation of information and communication technologies in order to bridge citizens and technology with the ultimate goal of improving quality of life and sustainability [1]. Smart cities manage city assets including, but not limited to, the local departments, information systems, libraries, schools, hospitals, waste management systems and transportation systems [2]. The most commonly-known smart city services are smart transportation, smart grid, smart parking, smart health and smart lighting [3]. Wireless Sensor and Actuator Networks (WSAN) facilitate the manageability and efficiency of smart city services [4,5,6,7]. Most researchers define the smart city paradigm as an application of the Internet of Things (IoT) concept [8]. The high penetration rate of the IoT technologies, which are used in all the activities of everyday life, is significantly increasing [9]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
